{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5989e178",
   "metadata": {},
   "source": [
    "在本章节的练习中，首先我们要完成Momentum，RMSProp，Adam三种优化方法的代码编写。在此之后，我们将重点进行BN算法的前向传播，反向传播的实现。本章我们将逐步完成：\n",
    "* 编码实现Momentum算法；\n",
    "* 编码实现RMSProp算法；\n",
    "* 编码实现Adam算法；\n",
    "* 编码实现BN前向传播；\n",
    "* 编码实现BN反向传播；\n",
    "* 编码实现BN全连接网络。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f3199edd",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# -*- coding: utf-8 -*-\n",
    "import time\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from classifiers.chapter5 import *\n",
    "from utils import *\n",
    "\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (10.0, 8.0) \n",
    "plt.rcParams['image.interpolation'] = 'nearest'\n",
    "plt.rcParams['image.cmap'] = 'gray'\n",
    "\n",
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "def rel_error(x, y):\n",
    "  \"\"\" 返回相对误差 \"\"\"\n",
    "  return np.max(np.abs(x - y) / (np.maximum(1e-8, np.abs(x) + np.abs(y))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "629ff87b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X_train:  (49000, 3, 32, 32)\n",
      "y_train:  (49000,)\n",
      "X_val:  (1000, 3, 32, 32)\n",
      "y_val:  (1000,)\n",
      "X_test:  (1000, 3, 32, 32)\n",
      "y_test:  (1000,)\n"
     ]
    }
   ],
   "source": [
    "data = get_CIFAR10_data()\n",
    "for k, v in data.items():\n",
    "    print('%s: ' % k, v.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "db951d8e",
   "metadata": {},
   "source": [
    "# SGD+Momentum\n",
    "\n",
    "使用momentum参数作为动量衰减因子，完成速度的计算后，需要将其保存在config['velocity']中。梯度检验的相对误差应该小于1e-8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "906aed6c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "更新权重误差:  8.882347033505819e-09\n",
      "速度误差:  4.269287743278663e-09\n"
     ]
    }
   ],
   "source": [
    "N, D = 4, 5\n",
    "w = np.linspace(-0.4, 0.6, num=N*D).reshape(N, D)\n",
    "dw = np.linspace(-0.6, 0.4, num=N*D).reshape(N, D)\n",
    "v = np.linspace(0.6, 0.9, num=N*D).reshape(N, D)\n",
    "\n",
    "config = {'learning_rate': 1e-3, 'velocity': v}\n",
    "next_w, _ = sgd_momentum(w, dw, config=config)\n",
    "\n",
    "expected_next_w = np.asarray([\n",
    "  [ 0.1406,      0.20738947,  0.27417895,  0.34096842,  0.40775789],\n",
    "  [ 0.47454737,  0.54133684,  0.60812632,  0.67491579,  0.74170526],\n",
    "  [ 0.80849474,  0.87528421,  0.94207368,  1.00886316,  1.07565263],\n",
    "  [ 1.14244211,  1.20923158,  1.27602105,  1.34281053,  1.4096    ]])\n",
    "expected_velocity = np.asarray([\n",
    "  [ 0.5406,      0.55475789,  0.56891579, 0.58307368,  0.59723158],\n",
    "  [ 0.61138947,  0.62554737,  0.63970526,  0.65386316,  0.66802105],\n",
    "  [ 0.68217895,  0.69633684,  0.71049474,  0.72465263,  0.73881053],\n",
    "  [ 0.75296842,  0.76712632,  0.78128421,  0.79544211,  0.8096    ]])\n",
    "\n",
    "print('更新权重误差: ', rel_error(next_w, expected_next_w))\n",
    "print('速度误差: ', rel_error(expected_velocity, config['velocity']))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a50703a",
   "metadata": {},
   "source": [
    "当你实现 `momentum` 更新规则后，我们使用5层隐藏层神经网络进行测试，正常情况下，加入动量方法后会比原始的SGD算法收敛得更快一些。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "1fb3d505",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "num_train = 4000  # 训练数据数目\n",
    "\n",
    "# 小批量数据\n",
    "small_data = {\n",
    "    'X_train': data['X_train'][:num_train],\n",
    "    'y_train': data['y_train'][:num_train],\n",
    "    'X_val': data['X_val'],\n",
    "    'y_val': data['y_val'],\n",
    "}\n",
    "\n",
    "# 训练器\n",
    "trainers = {}\n",
    "# 训练模型\n",
    "for update_rule in ['sgd', 'sgd_momentum']:\n",
    "    model = FullyConnectedNet(hidden_dims=[100, 100, 100, 100, 100], weight_scale=7e-2)\n",
    "\n",
    "    trainer = Trainer(model, small_data,\n",
    "                                    num_epochs=10, batch_size=100,\n",
    "                                    update_rule=update_rule,\n",
    "                                    updater_config={\n",
    "                                        'learning_rate': 1e-3,\n",
    "                                    },\n",
    "                                    verbose=False)\n",
    "    trainers[update_rule] = trainer\n",
    "    trainer.train()\n",
    "\n",
    "# 绘制图像\n",
    "plt.subplot(3, 1, 1)\n",
    "plt.title('Training loss',fontsize=18)\n",
    "plt.xlabel('Iteration',fontsize=18)\n",
    "plt.ylabel('Loss',fontsize=18)\n",
    "\n",
    "plt.subplot(3, 1, 2)\n",
    "plt.title('Training accuracy',fontsize=18)\n",
    "plt.xlabel('Epoch',fontsize=18)\n",
    "plt.ylabel('Accuracy',fontsize=18)\n",
    "\n",
    "plt.subplot(3, 1, 3)\n",
    "plt.title('Validation accuracy',fontsize=18)\n",
    "plt.xlabel('Epoch',fontsize=18)\n",
    "plt.ylabel('Accuracy',fontsize=18)\n",
    "plt.subplots_adjust(left=0.08, right=0.95, wspace=0.25, hspace=0.25)\n",
    "a = {'sgd':'o', 'sgd_momentum':'*'}\n",
    "for update_rule, trainer in trainers.items():\n",
    "    plt.subplot(3, 1, 1)\n",
    "    plt.plot(trainer.loss_history, a[update_rule], label=update_rule)\n",
    "    \n",
    "    plt.subplot(3, 1, 2)\n",
    "    plt.plot(trainer.train_acc_history, '-'+a[update_rule], label=update_rule)\n",
    "\n",
    "    plt.subplot(3, 1, 3)\n",
    "    plt.plot(trainer.val_acc_history, '-'+a[update_rule], label=update_rule)\n",
    "    \n",
    "for i in [1, 2, 3]:\n",
    "    plt.subplot(3, 1, i)\n",
    "    plt.legend(loc='upper center', ncol=4)\n",
    "plt.gcf().set_size_inches(15, 15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c28da4af",
   "metadata": {},
   "source": [
    "由图像可以看出，动量学习法的收敛速度更快，加快了网络的训练效率。因此在使用SGD时，加入动量的更新方式是比较好的选择。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e709b1b",
   "metadata": {},
   "source": [
    "# RMSProp and Adam"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b1f01271",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "权重更新误差:  9.502645229894295e-08\n",
      "cache 误差:  2.6477955807156126e-09\n"
     ]
    }
   ],
   "source": [
    "# 测试 RMSProp ;相对误差应该小于1e-7\n",
    "N, D = 4, 5\n",
    "w = np.linspace(-0.4, 0.6, num=N*D).reshape(N, D)\n",
    "dw = np.linspace(-0.6, 0.4, num=N*D).reshape(N, D)\n",
    "cache = np.linspace(0.6, 0.9, num=N*D).reshape(N, D)\n",
    "\n",
    "config = {'learning_rate': 1e-2, 'cache': cache}\n",
    "next_w, _ = rmsprop(w, dw, config=config)\n",
    "\n",
    "expected_next_w = np.asarray([\n",
    "  [-0.39223849, -0.34037513, -0.28849239, -0.23659121, -0.18467247],\n",
    "  [-0.132737,   -0.08078555, -0.02881884,  0.02316247,  0.07515774],\n",
    "  [ 0.12716641,  0.17918792,  0.23122175,  0.28326742,  0.33532447],\n",
    "  [ 0.38739248,  0.43947102,  0.49155973,  0.54365823,  0.59576619]])\n",
    "expected_cache = np.asarray([\n",
    "  [ 0.5976,      0.6126277,   0.6277108,   0.64284931,  0.65804321],\n",
    "  [ 0.67329252,  0.68859723,  0.70395734,  0.71937285,  0.73484377],\n",
    "  [ 0.75037008,  0.7659518,   0.78158892,  0.79728144,  0.81302936],\n",
    "  [ 0.82883269,  0.84469141,  0.86060554,  0.87657507,  0.8926    ]])\n",
    "\n",
    "print('权重更新误差: ', rel_error(expected_next_w, next_w))\n",
    "print('cache 误差: ', rel_error(expected_cache, config['cache']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "832e6901",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "权重更新误差:  1.1395691798535431e-07\n",
      "v 误差:  4.208314038113071e-09\n",
      "m 误差:  4.214963193114416e-09\n"
     ]
    }
   ],
   "source": [
    "# 测试 Adam \n",
    "\n",
    "N, D = 4, 5\n",
    "w = np.linspace(-0.4, 0.6, num=N*D).reshape(N, D)\n",
    "dw = np.linspace(-0.6, 0.4, num=N*D).reshape(N, D)\n",
    "m = np.linspace(0.6, 0.9, num=N*D).reshape(N, D)\n",
    "v = np.linspace(0.7, 0.5, num=N*D).reshape(N, D)\n",
    "\n",
    "config = {'learning_rate': 1e-2, 'm': m, 'v': v, 't': 5}\n",
    "next_w, _ = adam(w, dw, config=config)\n",
    "\n",
    "expected_next_w = np.asarray([\n",
    "  [-0.40094747, -0.34836187, -0.29577703, -0.24319299, -0.19060977],\n",
    "  [-0.1380274,  -0.08544591, -0.03286534,  0.01971428,  0.0722929],\n",
    "  [ 0.1248705,   0.17744702,  0.23002243,  0.28259667,  0.33516969],\n",
    "  [ 0.38774145,  0.44031188,  0.49288093,  0.54544852,  0.59801459]])\n",
    "expected_v = np.asarray([\n",
    "  [ 0.69966,     0.68908382,  0.67851319,  0.66794809,  0.65738853,],\n",
    "  [ 0.64683452,  0.63628604,  0.6257431,   0.61520571,  0.60467385,],\n",
    "  [ 0.59414753,  0.58362676,  0.57311152,  0.56260183,  0.55209767,],\n",
    "  [ 0.54159906,  0.53110598,  0.52061845,  0.51013645,  0.49966,   ]])\n",
    "expected_m = np.asarray([\n",
    "  [ 0.48,        0.49947368,  0.51894737,  0.53842105,  0.55789474],\n",
    "  [ 0.57736842,  0.59684211,  0.61631579,  0.63578947,  0.65526316],\n",
    "  [ 0.67473684,  0.69421053,  0.71368421,  0.73315789,  0.75263158],\n",
    "  [ 0.77210526,  0.79157895,  0.81105263,  0.83052632,  0.85      ]])\n",
    "\n",
    "print('权重更新误差: ', rel_error(expected_next_w, next_w))\n",
    "print('v 误差: ', rel_error(expected_v, config['v']))\n",
    "print('m 误差: ', rel_error(expected_m, config['m']))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23647677",
   "metadata": {},
   "source": [
    "现在我们测试SGD，momentum，RMSProp以及Adam。由于SGD，momentum已经在trainers字典中了，我们只需要实例RMSProp以及Adam网络即可。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "b53ba01a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 学习率\n",
    "learning_rates = {'rmsprop': 1e-4, 'adam': 1e-3}\n",
    "# 更新规则\n",
    "for update_rule in ['adam', 'rmsprop']:\n",
    "    model = FullyConnectedNet(hidden_dims=[100, 100, 100, 100, 100], weight_scale=7e-2)\n",
    "\n",
    "    trainer = Trainer(model, small_data,\n",
    "                                            num_epochs=10, batch_size=100,\n",
    "                                    update_rule=update_rule,\n",
    "                                    updater_config={\n",
    "                                        'learning_rate': learning_rates[update_rule]\n",
    "                                    },\n",
    "                                    verbose=False)\n",
    "    trainers[update_rule] = trainer\n",
    "    trainer.train()\n",
    "\n",
    "# 绘制图像\n",
    "plt.subplot(3, 1, 1)\n",
    "plt.title('Training loss',fontsize=18)\n",
    "plt.xlabel('Iteration',fontsize=18)\n",
    "plt.ylabel('Loss',fontsize=18)\n",
    "plt.subplot(3, 1, 2)\n",
    "plt.title('Training accuracy',fontsize=18)\n",
    "plt.xlabel('Epoch',fontsize=18)\n",
    "plt.ylabel('Accuracy',fontsize=18)\n",
    "\n",
    "plt.subplot(3, 1, 3)\n",
    "plt.title('Validation accuracy',fontsize=18)\n",
    "plt.xlabel('Epoch',fontsize=18)\n",
    "plt.ylabel('Accuracy',fontsize=18)\n",
    "\n",
    "plt.subplots_adjust(left=0.08, right=0.95, wspace=0.25, hspace=0.25)\n",
    "a['adam'] = 'D'\n",
    "a['rmsprop'] = 'v'\n",
    "for update_rule, trainer in trainers.items():\n",
    "    plt.subplot(3, 1, 1)\n",
    "    plt.plot(trainer.loss_history, a[update_rule], label=update_rule)\n",
    "    \n",
    "    plt.subplot(3, 1, 2)\n",
    "    plt.plot(trainer.train_acc_history, '-'+a[update_rule], label=update_rule)\n",
    "\n",
    "    plt.subplot(3, 1, 3)\n",
    "    plt.plot(trainer.val_acc_history, '-'+a[update_rule], label=update_rule)\n",
    "    \n",
    "for i in [1, 2, 3]:\n",
    "    plt.subplot(3, 1, i)\n",
    "    plt.legend(loc='upper center', ncol=4)\n",
    "plt.gcf().set_size_inches(15, 15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8f56ea07",
   "metadata": {},
   "source": [
    "从图中可以看出，Adam算法的收敛效果普遍要比其他三种更新方式要快速高效些。因此在默认情况下，我们都比较推荐使用Adam算法进行网络优化。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "91e8dc58",
   "metadata": {},
   "source": [
    "## Batch normalization: 前向传播"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d48ca7f5",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "normalization之前:\n",
      "  means:  [ 18.29525763 -40.17756825 -22.86448624]\n",
      "  stds:  [31.19371179 32.4207359  39.14502871]\n",
      "batch normalization之后(gamma=1, beta=0)\n",
      "  mean:  [ 1.57651669e-16  2.44249065e-17 -2.99760217e-17]\n",
      "  std:  [0.99999999 1.         1.        ]\n",
      " batch normalization之后(随机 gamma, beta)\n",
      "  means:  [11. 12. 13.]\n",
      "  stds:  [0.99999999 1.99999999 2.99999999]\n"
     ]
    }
   ],
   "source": [
    "#检验BN训练阶段前向传播的均值和方差\n",
    "N, D1, D2, D3 = 200, 50, 60, 3\n",
    "X = np.random.randn(N, D1)\n",
    "W1 = np.random.randn(D1, D2)\n",
    "W2 = np.random.randn(D2, D3)\n",
    "a = np.maximum(0, X.dot(W1)).dot(W2)\n",
    "\n",
    "print('normalization之前:')\n",
    "print('  means: ', a.mean(axis=0))\n",
    "print('  stds: ', a.std(axis=0))\n",
    "\n",
    "# 均值应该接近零，标准差接近1\n",
    "print('batch normalization之后(gamma=1, beta=0)')\n",
    "a_norm, _ = batchnorm_forward(a, np.ones(D3), np.zeros(D3), {'mode': 'train'})\n",
    "print('  mean: ', a_norm.mean(axis=0))\n",
    "print('  std: ', a_norm.std(axis=0))\n",
    "\n",
    "# 均值应该接近beta，标准差接近gamma\n",
    "gamma = np.asarray([1.0, 2.0, 3.0])\n",
    "beta = np.asarray([11.0, 12.0, 13.0])\n",
    "a_norm, _ = batchnorm_forward(a, gamma, beta, {'mode': 'train'})\n",
    "print('batch normalization之后(随机 gamma, beta)')\n",
    "print('  means: ', a_norm.mean(axis=0))\n",
    "print('  stds: ', a_norm.std(axis=0))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0742bbb",
   "metadata": {},
   "source": [
    "## Batch Normalization: 反向传播"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "1735ac86",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dx 误差:  4.076344212723392e-09\n",
      "dgamma误差:  7.847526657072649e-12\n",
      "dbeta 误差:  3.2757947066815506e-12\n"
     ]
    }
   ],
   "source": [
    "# 检验BN反向传播梯度\n",
    "N, D = 4, 5\n",
    "x = 5 * np.random.randn(N, D) + 12\n",
    "gamma = np.random.randn(D)\n",
    "beta = np.random.randn(D)\n",
    "dout = np.random.randn(N, D)\n",
    "\n",
    "bn_param = {'mode': 'train'}\n",
    "fx = lambda x: batchnorm_forward(x, gamma, beta, bn_param)[0]\n",
    "fg = lambda a: batchnorm_forward(x, gamma, beta, bn_param)[0]\n",
    "fb = lambda b: batchnorm_forward(x, gamma, beta, bn_param)[0]\n",
    "\n",
    "dx_num = eval_numerical_gradient_array(fx, x, dout)\n",
    "da_num = eval_numerical_gradient_array(fg, gamma, dout)\n",
    "db_num = eval_numerical_gradient_array(fb, beta, dout)\n",
    "\n",
    "_, cache = batchnorm_forward(x, gamma, beta, bn_param)\n",
    "dx, dgamma, dbeta = batchnorm_backward(dout, cache)\n",
    "print('dx 误差: ', rel_error(dx_num, dx))\n",
    "print('dgamma误差: ', rel_error(da_num, dgamma))\n",
    "print('dbeta 误差: ', rel_error(db_num, dbeta))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "75d15d61",
   "metadata": {},
   "source": [
    "## Batch Normalization: 可选的反向传播"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "d64d41d7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dx 误差:  2.647976955036513e-11\n",
      "dgamma 误差:  7.196843026813416e-15\n",
      "dbeta 误差:  0.0\n",
      "加速: 0.02x\n"
     ]
    }
   ],
   "source": [
    "N, D = 100, 500\n",
    "x = 5 * np.random.randn(N, D) + 12\n",
    "gamma = np.random.randn(D)\n",
    "beta = np.random.randn(D)\n",
    "dout = np.random.randn(N, D)\n",
    "\n",
    "bn_param = {'mode': 'train'}\n",
    "out, cache = batchnorm_forward(x, gamma, beta, bn_param)\n",
    "\n",
    "t1 = time.time()\n",
    "dx1, dgamma1, dbeta1 = batchnorm_backward(dout, cache)\n",
    "t2 = time.time()\n",
    "dx2, dgamma2, dbeta2 = batchnorm_backward_alt(dout, cache)\n",
    "t3 = time.time()\n",
    "\n",
    "print('dx 误差: ', rel_error(dx1, dx2))\n",
    "print('dgamma 误差: ', rel_error(dgamma1, dgamma2))\n",
    "print('dbeta 误差: ', rel_error(dbeta1, dbeta2))\n",
    "print('加速: %.2fx' % ((t2 - t1) / (t3 - t2)))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61542d76",
   "metadata": {},
   "source": [
    "## 使用BN的全连接网络\n",
    "\n",
    "BN算法的全连接网络将有四种选择:\n",
    "1.\t深层全连接\n",
    "2.\t全连接+dropout\n",
    "3.\t全连接+BN\n",
    "4.\t全连接+BN+dropout\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "ae46bff2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "检验 reg =  0\n",
      "初始化 loss:  2.3946783210109417\n",
      "W1 相对误差: 7.31e-04\n",
      "W2 相对误差: 6.27e-06\n",
      "W3 相对误差: 3.36e-10\n",
      "b1 相对误差: 7.96e-09\n",
      "b2 相对误差: 2.22e-03\n",
      "b3 相对误差: 5.64e-11\n",
      "beta1 相对误差: 4.82e-08\n",
      "beta2 相对误差: 1.70e-08\n",
      "gamma1 相对误差: 6.86e-08\n",
      "gamma2 相对误差: 4.58e-08\n",
      "检验 reg =  3.14\n",
      "初始化 loss:  6.815096372845726\n",
      "W1 相对误差: 1.17e-04\n",
      "W2 相对误差: 4.14e-06\n",
      "W3 相对误差: 2.65e-07\n",
      "b1 相对误差: 1.05e-07\n",
      "b2 相对误差: 1.02e-08\n",
      "b3 相对误差: 2.87e-10\n",
      "beta1 相对误差: 1.08e-08\n",
      "beta2 相对误差: 1.01e-08\n",
      "gamma1 相对误差: 1.12e-08\n",
      "gamma2 相对误差: 5.58e-08\n"
     ]
    }
   ],
   "source": [
    "# 数据数目，数据维度，隐藏层1，隐藏层2，分类数目\n",
    "N, D, H1, H2, C = 2, 15, 20, 30, 10\n",
    "X = np.random.randn(N, D)\n",
    "y = np.random.randint(C, size=(N,))\n",
    "\n",
    "# 正则化系数\n",
    "for reg in [0, 3.14]:\n",
    "    print('检验 reg = ', reg)\n",
    "    # 构建全连接网络\n",
    "    model = FullyConnectedNet(hidden_dims=[H1, H2], input_dim=D, num_classes=C,\n",
    "                                                        reg=reg, weight_scale=5e-2,use_batchnorm=True)\n",
    "    \n",
    "    loss, grads = model.loss(X, y)\n",
    "    print('初始化 loss: ', loss)\n",
    "    \n",
    "    for name in sorted(grads):\n",
    "        f = lambda _: model.loss(X, y)[0]\n",
    "        grad_num = eval_numerical_gradient(f, model.params[name], verbose=False, h=1e-5)\n",
    "        print('%s 相对误差: %.2e' % (name, rel_error(grad_num, grads[name])))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cae4a715",
   "metadata": {},
   "source": [
    "# BN性能测试\n",
    "\n",
    "运行下列代码，测试BN算法性能"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "023d361e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BN Network:\n",
      "(迭代 1 / 200) 损失值: 2.299534\n",
      "(周期 0 / 10) 训练精度: 0.146000; 验证精度: 0.134000\n",
      "(周期 1 / 10) 训练精度: 0.320000; 验证精度: 0.240000\n",
      "(周期 2 / 10) 训练精度: 0.430000; 验证精度: 0.306000\n",
      "(周期 3 / 10) 训练精度: 0.463000; 验证精度: 0.296000\n",
      "(周期 4 / 10) 训练精度: 0.530000; 验证精度: 0.306000\n",
      "(周期 5 / 10) 训练精度: 0.629000; 验证精度: 0.324000\n",
      "(周期 6 / 10) 训练精度: 0.637000; 验证精度: 0.313000\n",
      "(周期 7 / 10) 训练精度: 0.665000; 验证精度: 0.317000\n",
      "(周期 8 / 10) 训练精度: 0.720000; 验证精度: 0.312000\n",
      "(周期 9 / 10) 训练精度: 0.734000; 验证精度: 0.319000\n",
      "(周期 10 / 10) 训练精度: 0.809000; 验证精度: 0.300000\n",
      "Network:\n",
      "(迭代 1 / 200) 损失值: 2.302481\n",
      "(周期 0 / 10) 训练精度: 0.111000; 验证精度: 0.116000\n",
      "(周期 1 / 10) 训练精度: 0.238000; 验证精度: 0.201000\n",
      "(周期 2 / 10) 训练精度: 0.271000; 验证精度: 0.235000\n",
      "(周期 3 / 10) 训练精度: 0.336000; 验证精度: 0.291000\n",
      "(周期 4 / 10) 训练精度: 0.347000; 验证精度: 0.265000\n",
      "(周期 5 / 10) 训练精度: 0.425000; 验证精度: 0.306000\n",
      "(周期 6 / 10) 训练精度: 0.470000; 验证精度: 0.295000\n",
      "(周期 7 / 10) 训练精度: 0.482000; 验证精度: 0.326000\n",
      "(周期 8 / 10) 训练精度: 0.568000; 验证精度: 0.306000\n",
      "(周期 9 / 10) 训练精度: 0.577000; 验证精度: 0.317000\n",
      "(周期 10 / 10) 训练精度: 0.596000; 验证精度: 0.301000\n"
     ]
    }
   ],
   "source": [
    "# 使用BN训练深层神经网络\n",
    "hidden = [100, 100, 100, 100, 100]\n",
    "\n",
    "# 小数据集\n",
    "num_train = 1000\n",
    "small_data = {\n",
    "  'X_train': data['X_train'][:num_train],\n",
    "  'y_train': data['y_train'][:num_train],\n",
    "  'X_val': data['X_val'],\n",
    "  'y_val': data['y_val'],\n",
    "}\n",
    "\n",
    "# 权重初始化范围，标准差\n",
    "weight_scale = 2e-2\n",
    "# 构建网络\n",
    "bn_model = FullyConnectedNet(hidden_dims=hidden, weight_scale=weight_scale, use_batchnorm=True)\n",
    "model = FullyConnectedNet(hidden_dims=hidden, weight_scale=weight_scale, use_batchnorm=False)\n",
    "\n",
    "print('BN Network:')\n",
    "# 构建BN神经网络并训练\n",
    "bn_trainer = Trainer(bn_model, small_data,\n",
    "                num_epochs=10, batch_size=50,\n",
    "                update_rule='adam',\n",
    "                updater_config={\n",
    "                  'learning_rate': 1e-3,\n",
    "                },\n",
    "                verbose=True, print_every=200)\n",
    "bn_trainer.train()\n",
    "\n",
    "print('Network:')\n",
    "# 构建神经网络并训练\n",
    "trainer = Trainer(model, small_data,\n",
    "                num_epochs=10, batch_size=50,\n",
    "                update_rule='adam',\n",
    "                updater_config={\n",
    "                  'learning_rate': 1e-3,\n",
    "                },\n",
    "                verbose=True, print_every=200)\n",
    "trainer.train()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "46b5f177",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplots_adjust(left=0.08, right=0.95, wspace=0.25, hspace=0.3)\n",
    "plt.subplot(3, 1, 1)\n",
    "plt.title('Training loss',fontsize=18)\n",
    "plt.xlabel('Iteration',fontsize=18)\n",
    "plt.ylabel('Loss',fontsize=18)\n",
    "\n",
    "plt.subplot(3, 1, 2)\n",
    "plt.title('Training accuracy',fontsize=18)\n",
    "plt.xlabel('Epoch',fontsize=18)\n",
    "plt.ylabel('Accuracy',fontsize=18)\n",
    "\n",
    "plt.subplot(3, 1, 3)\n",
    "plt.title('Validation accuracy',fontsize=18)\n",
    "plt.xlabel('Epoch',fontsize=18)\n",
    "plt.ylabel('Accuracy',fontsize=18)\n",
    "\n",
    "plt.subplot(3, 1, 1)\n",
    "plt.plot(trainer.loss_history, '*', label='baseline')\n",
    "plt.plot(bn_trainer.loss_history, 'D', label='batchnorm')\n",
    "\n",
    "plt.subplot(3, 1, 2)\n",
    "plt.plot(trainer.train_acc_history, '-*', label='baseline')\n",
    "plt.plot(bn_trainer.train_acc_history, '-D', label='batchnorm')\n",
    "\n",
    "plt.subplot(3, 1, 3)\n",
    "plt.plot(trainer.val_acc_history, '-*', label='baseline')\n",
    "plt.plot(bn_trainer.val_acc_history, '-D', label='batchnorm')\n",
    "  \n",
    "for i in [1, 2, 3]:\n",
    "    plt.subplot(3, 1, i)\n",
    "    plt.legend(loc='upper center', ncol=4)\n",
    "    \n",
    "plt.gcf().set_size_inches(15, 15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bbd499c9",
   "metadata": {},
   "source": [
    "# BN与权重初始化比较"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ae6cd94d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running weight scale 1 / 20\n",
      "Running weight scale 2 / 20\n",
      "Running weight scale 3 / 20\n",
      "Running weight scale 4 / 20\n",
      "Running weight scale 5 / 20\n",
      "Running weight scale 6 / 20\n",
      "Running weight scale 7 / 20\n",
      "Running weight scale 8 / 20\n",
      "Running weight scale 9 / 20\n",
      "Running weight scale 10 / 20\n",
      "Running weight scale 11 / 20\n",
      "Running weight scale 12 / 20\n",
      "Running weight scale 13 / 20\n"
     ]
    }
   ],
   "source": [
    "# 隐藏层神经元\n",
    "hidden = [50, 50, 50, 50, 50, 50, 50]\n",
    "\n",
    "num_train = 1000\n",
    "small_data = {\n",
    "    'X_train': data['X_train'][:num_train],\n",
    "    'y_train': data['y_train'][:num_train],\n",
    "    'X_val': data['X_val'],\n",
    "    'y_val': data['y_val'],\n",
    "}\n",
    "\n",
    "# 构建训练器\n",
    "bn_trainers = {}\n",
    "trainers = {}\n",
    "# 权重初始化范围，标准差\n",
    "weight_scales = np.logspace(-4, 0, num=20)\n",
    "\n",
    "t1 = time.time()\n",
    "\n",
    "for i, weight_scale in enumerate(weight_scales):\n",
    "    print('Running weight scale %d / %d' % (i + 1, len(weight_scales)))\n",
    "    bn_model = FullyConnectedNet(hidden_dims=hidden, weight_scale=weight_scale, use_batchnorm=True)\n",
    "    model = FullyConnectedNet(hidden_dims=hidden, weight_scale=weight_scale, use_batchnorm=False)\n",
    "\n",
    "    bn_trainer = Trainer(bn_model, small_data,\n",
    "                                    num_epochs=10, batch_size=50,\n",
    "                                    update_rule='adam',\n",
    "                                    updater_config={\n",
    "                                        'learning_rate': 3e-3,\n",
    "                                    },\n",
    "                                    verbose=False, print_every=200)\n",
    "    bn_trainer.train()\n",
    "    bn_trainers[weight_scale] = bn_trainer\n",
    "\n",
    "    trainer = Trainer(model, small_data,\n",
    "                                    num_epochs=10, batch_size=50,\n",
    "                                    update_rule='adam',\n",
    "                                    updater_config={\n",
    "                                        'learning_rate': 3e-3,\n",
    "                                    },\n",
    "                                    verbose=False, print_every=200)\n",
    "    trainer.train()\n",
    "    trainers[weight_scale] = trainer\n",
    "    \n",
    "t2 = time.time()\n",
    "# 计算运行时间\n",
    "print('time: %.2f s' % (t2 - t1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "ab4c9a4b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x1080 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "best_train_accs, bn_best_train_accs = [], []\n",
    "best_val_accs, bn_best_val_accs = [], []\n",
    "final_train_loss, bn_final_train_loss = [], []\n",
    "\n",
    "for ws in weight_scales:\n",
    "    best_train_accs.append(max(trainers[ws].train_acc_history))\n",
    "    bn_best_train_accs.append(max(bn_trainers[ws].train_acc_history))\n",
    "    \n",
    "    best_val_accs.append(max(trainers[ws].val_acc_history))\n",
    "    bn_best_val_accs.append(max(bn_trainers[ws].val_acc_history))\n",
    "    \n",
    "    final_train_loss.append(np.mean(trainers[ws].loss_history[-100:]))\n",
    "    bn_final_train_loss.append(np.mean(bn_trainers[ws].loss_history[-100:]))\n",
    "        \n",
    "plt.subplots_adjust(left=0.08, right=0.95, wspace=0.25, hspace=0.3)\n",
    "plt.subplot(3, 1, 1)\n",
    "plt.title('Best val accuracy vs weight initialization scale',fontsize=18)\n",
    "plt.xlabel('Weight initialization scale',fontsize=18)\n",
    "plt.ylabel('Best val accuracy',fontsize=18)\n",
    "plt.semilogx(weight_scales, best_val_accs, '-D', label='baseline')\n",
    "plt.semilogx(weight_scales, bn_best_val_accs, '-*', label='batchnorm')\n",
    "plt.legend(ncol=2, loc='lower right')\n",
    "\n",
    "plt.subplot(3, 1, 2)\n",
    "plt.title('Best train accuracy vs weight initialization scale',fontsize=18)\n",
    "plt.xlabel('Weight initialization scale',fontsize=18)\n",
    "plt.ylabel('Best training accuracy',fontsize=18)\n",
    "plt.semilogx(weight_scales, best_train_accs, '-D', label='baseline')\n",
    "plt.semilogx(weight_scales, bn_best_train_accs, '-*', label='batchnorm')\n",
    "plt.legend()\n",
    "\n",
    "plt.subplot(3, 1, 3)\n",
    "plt.title('Final training loss vs weight initialization scale',fontsize=18)\n",
    "plt.xlabel('Weight initialization scale',fontsize=18)\n",
    "plt.ylabel('Final training loss',fontsize=18)\n",
    "plt.semilogx(weight_scales, final_train_loss, '-D', label='baseline')\n",
    "plt.semilogx(weight_scales, bn_final_train_loss, '-*', label='batchnorm')\n",
    "plt.legend()\n",
    "\n",
    "plt.gcf().set_size_inches(10, 15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5160df4f",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
